Here you go :
- sqldf (for selecting from data frames using SQL)
- forecast (for easy forecasting of time series)
- plyr (data aggregation)
- stringr (string manipulation)
- Database connection packages RPostgreSQL, RMYSQL, RMongo, RODBC, RSQLite
- lubridate (time and date manipulation)
- ggplot2 (data visulization)
- qcc (statistical quality control and QC charts)
- reshape2 (data restructuring)
- randomForest (random forest predictive models)
- xgboost (Extreme Gradient Boosting)
- RHadoop (Connect R with Hadoop)
And don't forget http://statmethods.net/ !
1 comment:
Hi Uncle Max, May I add this package data.table. It is optimized for data manipulation. Give it a try, you won't regret it.
the link is https://cran.r-project.org/web/packages/data.table/index.html
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